Guidelines for evaluating structure-based methods for protein–ligand binding prediction
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ABench: Adversarily Benchmarking Large Language Models across Taxonomized Values
arXiv:2610.27611v1 Announce Type: cross Abstract: Ensuring the alignment of Large Language Models (LLMs) with diverse cultural values is critical for…
Abstract Compression of Conversational Audio Context for LLM-based ASR
arXiv:2603.26246v2 Announce Type: replace-cross Abstract: Standard LLM-based speech recognition systems process utterances in isolation, limiting their ability to leverage conversational…
Retargeting Motions to Diverse Skeletons via Learnable Flattening
arXiv:2609.38578v3 Announce Type: replace-cross Abstract: Cross-structural motion retargeting aims to transfer motion between different skeletal topologies. Despite recent progress, existing…
InsightRAG: Aggregating Distributed Scholarly Judgments for Scientific Survey Generation
arXiv:2610.28085v1 Announce Type: new Abstract: The rapid growth of scientific literature makes survey writing increasingly challenging, motivating automatic survey generation.…
Auditing the Product, Not the Recursion: The Evaluation Evidence Behind Recursive Self-Improvement Claims
arXiv:2610.27610v1 Announce Type: cross Abstract: Recursive self-improvement (RSI) promises AI systems, such as self-evolving LLM agents, that become better at…
OPIS: An Input-Grounded Benchmark for Multi-Object Memory in Video World Models
arXiv:2609.35052v2 Announce Type: replace-cross Abstract: Video world models must preserve the visual state of the world over time, but existing…
IECG: Weakly-Supervised Interpretability-Enhancing Foundation Model for Electrocardiogram
arXiv:2610.28083v1 Announce Type: new Abstract: Electrocardiography (ECG) is a cornerstone of cardiac diagnosis, yet most machine learning methods for ECG…
TamedFlow: Trajectory-Aware Distillation for Teacher-Assisted Diffusion Sampling
arXiv:2610.26025v2 Announce Type: replace-cross Abstract: Diffusion Transformers (DiTs) deliver high-fidelity image and video generation, but inference requires many sequential model…